AI ENGINEER

Type of Requisition:
Regular

Clearance Level Must Currently Possess:
Top Secret SCI + Polygraph

Clearance Level Must Be Able to Obtain:
Top Secret SCI + Polygraph

Public Trust/Other Required:
None

Job Family:
Data Science and Data Engineering

Job Qualifications:

Skills:
Agentic AI, AI Agents, Amazon Web Services (AWS)
Certifications:
None
Experience:
5 + years of related experience
US Citizenship Required:
Yes

Job Description:

AI ENGINEER

*** Up to 3 Days per week telework! ***

Own your opportunity to turn data into measurable outcomes for our customers' most complex challenges as an AI Engineer.

MEANINGFUL WORK AND PERSONAL IMPACT

As an AI Engineer, the work you'll do at GDIT will be impactful to the mission of a mission-critical customer. You will play a crucial role in designing, prototyping, and integrating AI-enabled capabilities into an existing mission - critical tool.
• Support the application of existing large language models (LLMs) to real mission workflows rather than training new models.
• Collaborate with system and software engineers
• Build agentic solutions, systems of coordinated AI agents and prompts that automate tasks currently performed manually, streamline authoring and reporting workflows, and enhance the overall effectiveness of intelligence operations.

WHAT YOU'LL NEED TO SUCCEED
Bring your expertise and drive for innovation to GDIT. The AI Engineer must have:
• Education: Bachelor of Arts/Bachelor of Science
• Experience: 8+ years of related experience
• Security clearance level: TS/ SCI W/ Polygraph
• US citizenship required

Responsibilities:

• Agentic Solution Design & Development: Lead the design and development of AI-driven solutions from conception to deployment, building multi-agent workflows in which coordinated agents and prompts work together to produce outputs supporting reporting and dissemination. This includes prototyping, writing production-quality code, and maintaining deployed AI capabilities.
• LLM Integration: Integrate existing foundation models into the RAD architecture via APIs and orchestration frameworks, selecting the right model and approach for each task rather than building models from scratch.
• Prompt Engineering & Workflow Automation: Design, test, and refine prompts and agent instructions to reliably automate manual tasks, and decompose complex mission workflows into discrete steps an agent pipeline can execute.
• Evaluation & Reliability: Develop robust testing, evaluation, and validation strategies for AI-generated outputs, ensuring accuracy, consistency, and appropriate handling of edge cases before outputs reach analysts and reports.
• Collaboration & Communication: Serve as a key technical liaison, collaborating with cross-functional teams including system engineers, software developers, and domain experts. Effectively present and articulate recommended AI approaches, discussing the tradeoffs and implications of different implementations with both technical and non-technical stakeholders.
• Continuous Improvement: Stay current with the rapidly evolving LLM and agentic AI landscape (new models, orchestration frameworks, and tooling), continuously identifying practical opportunities to apply emerging capabilities to the system.

Required Technical Skills:

• Strong Python development skills, with experience writing production-quality, maintainable code
• Hands-on experience building applications on top of existing LLMs (e.g., via APIs for commercial or self-hosted models)
• Experience designing multi-agent or multi-step AI workflows, including prompt chaining, tool use, and agent orchestration (e.g., LangChain, LlamaIndex, or custom frameworks)
• Strong prompt engineering skills and experience evaluating/validating LLM outputs
• Experience integrating AI capabilities into existing software architectures (RESTful APIs, microservices)
• Experience with the Amazon Web Services (AWS) cloud computing platform

Desired Technical Skills:

• Experience with retrieval-augmented generation (RAG) pipelines and vector databases
• Familiarity with LLM observability and evaluation tooling
• Experience conducting exploratory data analysis on structured and unstructured datasets to prepare inputs for AI workflows
• Familiarity with MLOps/LLMOps practices for deploying and monitoring AI capabilities at scale
• Familiarity with domain knowledge surrounding government agency reporting and dissemination policies

The likely salary range for this position is $165,750 - $224,250. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Scheduled Weekly Hours:
40

Travel Required:
None

Telecommuting Options:
Hybrid

Work Location:
USA MD Annapolis Junction

Additional Work Locations:

Total Rewards at GDIT:
Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.

Our Identity Verification Process:
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.